CN101005632A - Semi speed intelligent control system - Google Patents
Semi speed intelligent control system Download PDFInfo
- Publication number
- CN101005632A CN101005632A CN 200610134891 CN200610134891A CN101005632A CN 101005632 A CN101005632 A CN 101005632A CN 200610134891 CN200610134891 CN 200610134891 CN 200610134891 A CN200610134891 A CN 200610134891A CN 101005632 A CN101005632 A CN 101005632A
- Authority
- CN
- China
- Prior art keywords
- subsystem
- intelligent control
- sub
- budget
- semi
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention comprises three sub-systems which are: a collection sub-system whose time unit is second; a prediction sub-system supporting different areas and multi traffic modes; and a closed loop feedback sub-system which is accurate to cell grade. The collection sub-system collects the data about the available radio resources of cell and the actual using state of cell; the predication sub-system converts the times of congestion into traffic load, and predicts the traffic load in next time interval to get a target adjustment value; the closed loop feedback sub-system analyzes the historical adjustment effects of each cell.
Description
Technical field:
The invention belongs to the mobile communication technology field, specifically a kind of semi speed intelligent control system.
Background technology:
Through the develop rapidlys of more than ten years, the O﹠M of China Mobile's enterprise communication network is as the important component part of operation productivity, just turn to from " network-oriented " " curstomer-oriented ", a kind of support system of taking the initiative in offering a hand based on client and market progressively forms.
Along with a large amount of growth of tracking exchage amount, telephone traffic is also along with significantly growth, but the growth rate of telephone traffic is obviously faster than the growth rate of wireless network capacitance.Increasing substantially of telephone traffic not only increased the pressure of network capacity, and the maintenance of network quality has also been caused bigger impact.User's ARPU value is compared with the past also to significantly decrease.User's continuous maturation makes that also the user has had more selection to network, rate etc., and the major part that Adds User is medium and low-end users, because the fierceness of market competition, the reduction of average communication expense needs us that the mode of the network planning is made adjustment.The ripe stage has been arrived in existing GSM network development, consider the 3G network of future development, will certainly shunt away the part user of 2G network now, in order to solve investment and income problem, reduce the investment risk of 2G as far as possible, how making full use of existing resource is the urgent problem of pendulum in face of us.Constantly holding of some large-scale activities gone up by society now, also proposed new requirement for us on the emergency communication field.Crowd's the mobility and the centrality of conversation require wireless network to provide dynamic capacity to absorb these interim telephone traffics that increases, and be congested to reduce, and improves user's perception.And the rational Application of GSM half rate can solve top problem preferably.Half rate is meant by reducing the mode of speech encoding rate, with the technology of a GSM time slot carrying two-way voice service.With respect to full rate, under the situation that does not increase frequency resource and hardware carrier frequency, the wireless channel capacity has been increased nearly one times in theory, effectively improved wireless network capacitance, when traffic congestion, used and to improve user's call completing rate, absorbed " being fallen " telephone traffic effectively by congested.
The half rate technology was applied in China Mobile's network since 2002, initial, and under the comparatively loose environment of network capacity, the half rate technology just is applied on other sub-district, and fixes a half rate and open ratio, does not dynamically adjust.Afterwards, also more and more higher along with market and networks development to the requirement that half rate is used, in the half rate technology is used,, avoid traffic congestion recent years in order to improve the wireless channel capacity, we take half rate Artificial Control adjustment technology.In the artificial adjustment technology of this half rate, data acquisition, the estimation of half rate ratio and adjustment are artificial realization.Owing to there is not unified calculation criterion, only be to estimate a rough unlatching ratio according to live traffice and congested situation by the people, could once adjust half rate unlatching ratio in the fastest 15 minutes, the rhythm of adjusting obviously changes slow than telephone traffic in the existing network, be difficult to make the network adjustment of hysteresis to meet the harmonious requirement of network quality and network capacity at that time, be difficult to satisfy mobile subscriber's variation now, personalization, informationalized demand.There is various disadvantages in the artificial adjustment technology of this half rate:
(1) user's perceptibility is poor.Improve service quality, customer satisfaction should create the foothold and the basic point of the performance of enterprises as moulding corporate image.And conventional half rate is used, owing to there is not unified calculation criterion, only is to open ratio according to 15 minutes half rates after preceding 15 minutes traffics and the congestion situation rough estimate, causes and can not reflect network condition in real time.When the unlatching ratio was excessive, it was too much to take half-rate channel, and user's sensing network quality descends; When the unlatching ratio is too small, do not play the dilatation effect, certain customers can not normal talking, and user's perception is caused negative effect.
(2) quick reaction capability is low.Realize enterprise by the transformation of scale development to the scale and benefit development, fine-grained management is the main mode that realizes this transformation, and becoming more meticulous of operation management produces maximum economic benefits with limited cost exactly.And conventional half rate is used, and just can make once adjustment in per 15 minutes, but owing to mobile subscriber's real-time, mobility behavior, cause telephone traffic to uprush at short notice, network capacity is if can not in time adjust at this moment, and alleviating network congestion causes the loss of telephone traffic well.
(3) intelligent degree deficiency.Mobile communication production running activity is the process of " input-conversion-output ", wherein adds feedback element in conversion process, can realize the monitoring of system and optimize and revise, and then guarantee accurately, rapidly, safety, provide service for the user easily.And conventional half rate is used, when telephone traffic increases, with half rate open ratio from little to big adjustment, to reach the congested purpose of minimizing; When telephone traffic falls after rise, owing to there is not intelligent feedback mechanism, can not in time reduces half rate and open ratio, make the feature of half rate own cause the network quality of user's perception descending.
(4) O﹠M cost height.Try to achieve the network sustainable development, will establish modern production maintenance management theory.The accumulation and the analysis of network optimization need of work mass data, more intense to the dependence of optimization tool.And conventional half rate is used, and needs more employee to pay close attention to the traffic situation of change of network constantly, and is unit modification parameter with the sub-district, takies a large amount of human costs, causes inefficiency, adjustment effect general, causes the raising of O﹠M cost indirectly.
But reason owing to coding techniques, the half rate technology is when actively improving wireless network capacitance, but there is to a certain degree negative effect in speech quality, test shows, but use user's perception speech quality of half rate speech channel to reduce 10%-20% than full rate speech channel.Therefore, how intelligentized control half rate is opened the contradiction that improves in ratio, the use of balance half rate between network capacity and this two aspect of maintenance speech quality, is the new problem that half rate brings us.
Summary of the invention:
The objective of the invention is to: a kind of semi speed intelligent control system is provided.The network capacity of using half rate to bring increase and the reduction of network quality between find a balance point, make the user obtain best network service, and then reach and the most reasonably use half rate.
The present invention is based on the development environment of Microsoft Visual Studio 2003, use the C# language coding, on windows 2003 server operation platforms, connection by the network management system network, use the Telnet mode and sign in to the BSC switch, realization is disposed different Internet resources and parameter with mobility at different when and wheres to different user behaviors, finally realizes the Based Intelligent Control of half rate ratio.
The present invention has proposed to finish related algorithm by program development after determining to carry out dynamic, intelligent controlled target, final semi speed intelligent control system of realizing having feedback mechanism.
Native system is designed to 3 subsystems: acquisition subsystem, budget subsystem and closed loop feedback subsystem.Acquisition subsystem is responsible for the collection to basic data; The budget subsystem responsible is according to the computation rule of system design, and primary Calculation goes out required desired value.The closed loop feedback subsystem is adjusted the amplitude that each parameter setting in effect, the analytical system is whether proper and parameter need be adjusted by analysis of history, and then revises the internal system parameter of each sub-district.Simultaneously, these historical datas and can generate report to effect Analysis are to safeguard and optimization personnel reference.
Acquisition subsystem can be the Counter Value that unit scans ASSOCIATE STATISTICS with the second by directly entering Ericsson switch test system.The advantage of this method is exactly the time interval of data acquisition to be shortened to very for a short time, approximate reaches live effect, has abandoned the method for 15 minutes statistics of the sort of switch in the past.This acquisition subsystem is mainly gathered the available situation and the actual data of using of the Radio Resource of sub-district:
(1) available resources of sub-district.Be that the tch number of channel can be used in the sub-district, calculate the telephone traffic that can carry according to ERLANG B, this is to calculate very important data of opening the much ratios of half rate.
(2) telephone traffic and congestion situation.For the current period, the potential telephone traffic of sub-district comprises the telephone traffic that absorbed and by congested telephone traffic two parts that fall.For the telephone traffic of next period, need go prediction according to certain method and means.
(3) situation that takies of sub-district.Mainly be averaged and take duration (telephone traffic/take number of times * 3600)
(4) current sub-district half rate is opened situation.
The budget subsystem is supported zones of different, multiple traffic model.Can produce the different system parameters effect of a cover at mobility features different in each sub-district, finish personalization adjustment each sub-district.In the practical application of existing network, by different zones (BSC level, the whole network level, self defined area) or different traffic models (dense urban, suburb, rural area) sub-district is divided and the characteristic adjustment, set to the sub-district is adjusted according to unified parameter, it adopts accounting method, times of congestion can be converted into telephone traffic, and can dope next period is equipped with amount, computational methods science, accurately.
The budget subsystem algorithm is as follows: minimum open degree is calculated according to ERL-B traffic bearing capacity in each sub-district, and it is 0 that elload_min is set.
If i. times of congestion (or congested ratio reaches certain thresholding) is arranged.
If celload_ is reason＞celload_pre, celload_tar=C* (100+celload_ reason)-100
Celload_ reason＜=celload_pre, celload_tar=celload_pre+STEP
If ii. there is not times of congestion.
The celload_tar=celload_ reason
Final definite open degree is made as celload, then: celload=Max (celload_tar, celload_min)
Wherein:
Celload_ reason=100*{[A* (Cong_ complete+Gong_ half) * T_ave/T+Traffic_ is complete+Traffic_ half]/(B*ERL_ is every)-Tchno_ava}/Tchno_ava
Celload_ reason: the required unlatching ratio of calculating according to all telephone traffics of current period (passing by) (comprise actual absorption and be transformed) by congested
Celload_tar: the adjustment desired value of calculating
The number of users that A* (Cong_ complete+Cong_ half) is actual congested
The telephone traffic that A* (Traffic_ complete+Traffic_ half) * T_ave/T is come out by congested simulation
The total traffic that [A* (Traffic_ complete+Traffic_ half) * T_ave/T+Traffic_ complete+Traffic_ half] sub-district should be born
[A* (Traffic_ complete+Traffic_ half) * T_ave/T+Traffic_ complete+Traffic_ half]/(B*ERL_ is every) bears the total traffic in sub-district should need for how many numbers of channel
Congestion factor A: congested number of users/times of congestion
The bearing capacity factor B: when half rate was opened, the every line bearing capacity of channel was with respect to the ratio of not opening.Because the unlatching of half rate, every line bearing capacity also is not equal to every line bearing capacity of its full speed channel, in addition, also need to consider, have some client terminals not support half rate in the existing network, when the half rate unlatching was 100%, the tch number of channel was not 2 times of full rate like this.
Traffic trend factor C: predict the theoretical telephone traffic of next period and the theoretical telephone traffic ratio of current period, its value was by current period telephone traffic with respect to the ratio of the telephone traffic of a last period as a reference, obtain and finely tune, be used for fundamental forecasting to traffic trend by the closed-loop optimization system.
Adjust step-length STEP: when theoretical value still can not practical requirement, be used for further adjusting desired value and set.
The mainly outstanding accuracy of feeding back of closed loop feedback subsystem and the characteristics of closed loop, its accuracy can be as accurate as cell-level.And each cell history is adjusted effect to be analyzed, for the adjustment that does not reach expection, then analyzing is which budget link is provided with unreasonable and causes, and carries out backward inference, 4 reasonability that parameter A, B, C, STEP are provided with in the analytical system, and then according to each parameter of feedback algorithm correction.At first, by the telephone traffic to prediction is that starting point is analyzed, if because traffic meter is not calculated accurately really, then parameter A and C are analyzed, A relates to the problem that times of congestion is converted into telephone traffic, is that the trend of telephone traffic changes the change that changes with respect to the last period and C relates to.Secondly, no problem if telephone traffic is calculated, then B is analyzed, with congestion ratio as GOS, bearing capacity to the sub-district is analyzed, and then adjusts B, just revises the ERL-B table in fact, because we know, ERL-B represents that each sub-district in an empirical value and the reality is not certain coincideing, and is a foundation planning institute's reference early stage, but in the optimization in later stage, carry out certain modification according to actual conditions.For the feedback adjusting of STEP in like manner.
The closed loop feedback subsystem is a subsystem that the ruuning situation of self system is analyzed and optimized, and these historically adjust data and analysis result can generate report simultaneously, are optimization personnel reference.In semi speed intelligent control system, play a part very important.
The use of semi speed intelligent control system, the half rate proportional control of the whole network is got better, the emergency communication ability of wireless network has obtained the raising of big level, wireless network has been finished the absorption of " loss traffic " preferably, mobile traffic carrying capacity is increased, operation cost reduces, and investment risk reduces.
Description of drawings:
Fig. 1 semi speed intelligent control system structure chart.
Semi speed intelligent control system operating structure figure among Fig. 2 embodiment 1.
Embodiment:
Semi speed intelligent control system, the budget method of employing science, by program development, realization has the half rate Based Intelligent Control of closed-loop feedback mechanism, this system comprises 3 subsystems: acquisition subsystem, budget subsystem and closed loop feedback subsystem, acquisition subsystem is responsible for the collection to basic data, by entering Ericsson switch test system, the available resources of instantaneous collection sub-district, telephone traffic, congested, take, half rate opens situation; The budget subsystem responsible is according to the computation rule of system design, and primary Calculation goes out required desired value; The closed loop feedback subsystem is adjusted the amplitude that each parameter setting in effect, the system is whether proper and parameter need be adjusted by analysis of history, revise the internal system parameter of each sub-district, wherein semi speed intelligent control system is connected with application server, connect with router, network management system network, router and each BSC network element, application server connects with operating terminal and database server respectively again.
Acquisition subsystem connects the budget subsystem in the semi speed intelligent control system, and the budget subsystem connects the BSC network element, and the BSC network element connects the closed loop feedback subsystem, and the closed loop feedback subsystem connects budget subsystem and half rate Based Intelligent Control.
Embodiment 1:
Semi speed intelligent control system operates on the application server, by network management system network (each common carrier has all built up the network management system network at present), is connected with each BSC network element in the TCP/IP mode.After system enables, can enter into the test macro of BSC by instruction, gather the Radio Resource situation of sub-district and data such as half rate unlatching situation in real time from BSC, by system-computed, analysis, determine half rate unlatching ratio desired value, and then send to BSC with instruction and adjust half rate and open ratio, and be stored in the database server.Data in the adjustment process and analysis result all are stored in the database server and feed back to system, and system can carry out inner parameter from revising according to feedback result.These historical adjustment data and analysis result can also generate report, are optimization personnel reference.Operating personnel can also control, adjust system switching and parameter etc. by operating terminal.
The running environment of semi speed intelligent control system need operate on the windows server, and network connects can utilize existing network management platform.
Claims (2)
1, a kind of semi speed intelligent control system, the budget method of employing science, by program development, realization has the half rate Based Intelligent Control of closed-loop feedback mechanism, it is characterized in that: this system comprises 3 subsystems: acquisition subsystem, budget subsystem and closed loop feedback subsystem, acquisition subsystem is responsible for the collection to basic data, by entering Ericsson switch test system, the available resources of instantaneous collection sub-district, telephone traffic, congested, take, half rate opens situation; The budget subsystem responsible is according to the computation rule of system design, and primary Calculation goes out required desired value; The closed loop feedback subsystem is adjusted the amplitude that each parameter setting in effect, the system is whether proper and parameter need be adjusted by analysis of history, revise the internal system parameter of each sub-district, wherein semi speed intelligent control system is connected with application server, connect with router, network management system network, router and each BSC network element, application server connects with operating terminal and database server respectively again.
2, a kind of semi speed intelligent control system according to claim 1, it is characterized in that: acquisition subsystem connects the budget subsystem in the semi speed intelligent control system, the budget subsystem connects the BSC network element, the BSC network element connects the closed loop feedback subsystem, and the closed loop feedback subsystem connects budget subsystem and half rate Based Intelligent Control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200610134891 CN101005632A (en) | 2006-12-20 | 2006-12-20 | Semi speed intelligent control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200610134891 CN101005632A (en) | 2006-12-20 | 2006-12-20 | Semi speed intelligent control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101005632A true CN101005632A (en) | 2007-07-25 |
Family
ID=38704444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200610134891 Pending CN101005632A (en) | 2006-12-20 | 2006-12-20 | Semi speed intelligent control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101005632A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009079950A1 (en) * | 2007-12-19 | 2009-07-02 | China Mobile Communications Corporation | Method and system for network resource control |
| CN101150836B (en) * | 2007-11-06 | 2011-05-11 | 中国移动通信集团江苏有限公司 | Radio precise planning analog and testing system and method |
| CN103188691A (en) * | 2011-12-29 | 2013-07-03 | 中国移动通信集团河北有限公司 | Capacity expansion method and system for expanding common control channel (CCCH) in wireless cell |
| CN103209488A (en) * | 2012-01-17 | 2013-07-17 | 中国移动通信集团辽宁有限公司 | Half-rate proportional threshold allocation method and device |
| CN103634831A (en) * | 2012-08-20 | 2014-03-12 | 中国移动通信集团设计院有限公司 | A method for determining a half rate coding switching-on threshold value and an apparatus |
| CN104768171A (en) * | 2014-01-08 | 2015-07-08 | 中国移动通信集团海南有限公司 | Network optimization method and device |
| CN105704737A (en) * | 2014-11-25 | 2016-06-22 | 中国移动通信集团黑龙江有限公司 | Cell capacity evaluation method and device |
-
2006
- 2006-12-20 CN CN 200610134891 patent/CN101005632A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101150836B (en) * | 2007-11-06 | 2011-05-11 | 中国移动通信集团江苏有限公司 | Radio precise planning analog and testing system and method |
| WO2009079950A1 (en) * | 2007-12-19 | 2009-07-02 | China Mobile Communications Corporation | Method and system for network resource control |
| CN103188691A (en) * | 2011-12-29 | 2013-07-03 | 中国移动通信集团河北有限公司 | Capacity expansion method and system for expanding common control channel (CCCH) in wireless cell |
| CN103188691B (en) * | 2011-12-29 | 2016-04-27 | 中国移动通信集团河北有限公司 | A kind of method and system of expansion CCCH dilatation of wireless area |
| CN103209488A (en) * | 2012-01-17 | 2013-07-17 | 中国移动通信集团辽宁有限公司 | Half-rate proportional threshold allocation method and device |
| CN103209488B (en) * | 2012-01-17 | 2016-03-30 | 中国移动通信集团辽宁有限公司 | Half-rate proportional threshold allocation method and device |
| CN103634831A (en) * | 2012-08-20 | 2014-03-12 | 中国移动通信集团设计院有限公司 | A method for determining a half rate coding switching-on threshold value and an apparatus |
| CN104768171A (en) * | 2014-01-08 | 2015-07-08 | 中国移动通信集团海南有限公司 | Network optimization method and device |
| CN104768171B (en) * | 2014-01-08 | 2018-11-02 | 中国移动通信集团海南有限公司 | A kind of network optimized approach and device |
| CN105704737A (en) * | 2014-11-25 | 2016-06-22 | 中国移动通信集团黑龙江有限公司 | Cell capacity evaluation method and device |
| CN105704737B (en) * | 2014-11-25 | 2019-07-05 | 中国移动通信集团黑龙江有限公司 | A kind of method and device of cell capacity assessment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101005632A (en) | Semi speed intelligent control system | |
| CN109002929B (en) | Hydropower station reservoir water level prediction analysis and control method | |
| US20230239784A1 (en) | Energy-saving method, base station, control unit, and storage medium | |
| CN105357692B (en) | A kind of network optimization of multi-network cooperative and power-economizing method and system | |
| US10050844B2 (en) | Techniques for dynamic network optimization using geolocation and network modeling | |
| CN113055990B (en) | Energy saving and consumption reducing method and system for wireless base station based on big data mining and AI scheduling | |
| US9730086B2 (en) | Techniques for dynamic network optimization using geolocation and network modeling | |
| CN102883352A (en) | GSM (global system for mobile communications) cell parameter optimization method based on traffic modeling and traffic prediction | |
| CN112714488A (en) | Network energy saving method and device based on energy consumption data | |
| CN101155085A (en) | Method and device for real-time flux prediction and real-time flux monitoring and early warning | |
| CN103987067B (en) | 3G voice service quality evaluation method based on data mining | |
| CN101345973A (en) | Method and system for network optimization and regulation through community cluster in communication network | |
| CN103987056A (en) | Wireless network telephone traffic prediction method based on big-data statistical model | |
| CN104661241B (en) | A kind of cell dormancy decision-making technique, realization method and system | |
| CN109088742B (en) | Service prediction method, network element equipment and computer readable storage medium | |
| CN102149114B (en) | Femto base station network control method | |
| CN103369640B (en) | Base station electricity saving method and device | |
| CN108346009A (en) | A kind of power generation configuration method and device based on user model self study | |
| CN102781012B (en) | Automatic optimizing method for uplink interference | |
| CN109005550A (en) | A kind of the data plane optimization method and controller of mobile management | |
| CN101217766A (en) | A network optimization real-time parameter optimization system and corresponding method applied for mobile network | |
| CN102196538A (en) | Method and device for controlling energy consumption | |
| CN101014172B (en) | Method for reducing energy consumption of user terminal on idle mode | |
| CN101170599B (en) | Network device load prediction method | |
| Shao et al. | A Load Balancing Vertical Handoff Algorithm Considering QoS of Users for Heterogeneous Networks in Power Communication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Open date: 20070725 |